tf.make_ndarray

TensorFlow 1 version

View source on GitHub

Create a numpy ndarray from a tensor.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.make_ndarray

tf.make_ndarray(
    tensor
)

Create a numpy ndarray with the same shape and data as the tensor.

For example:

# Tensor a has shape (2,3)
a = tf.constant([[1,2,3],[4,5,6]])
proto_tensor = tf.make_tensor_proto(a)  # convert `tensor a` to a proto tensor
tf.make_ndarray(proto_tensor) # output: array([[1, 2, 3],
#                                              [4, 5, 6]], dtype=int32)
# output has shape (2,3)

Args
`tensor`	A TensorProto.

Returns
A numpy array with the tensor contents.

Raises
`TypeError`	if tensor has unsupported type.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf / make_ndarray

View aliases

For example:

Args

Returns

Raises